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The article discusses the challenges of parallel programming, which involves dividing applications into smaller parts to be processed by multiple processors while minimizing scheduling and coordination overhead. The author argues that parallel programming is performance-oriented and requires not only correctness but also speed. The analogy of eight reporters working on a story highlights the challenges of parallel programming, including load balancing, synchronization, communication overhead, and managing dependencies between tasks. The article introduces various approaches to parallel programming, such as shared addressing and explicit message passing, and discusses the difficulties of benchmarking parallel processors. Finally, the article mentions that graphics processing units (GPUs) are becoming popular programming platforms due to their parallel architecture.
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parallel programming involves dividing dividing applications smaller parts minimizing scheduling coordination overhead parallel Programming multiple processors article

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